Tropical cyclone landfall intensity (Vmax) for western North Pacific nations: return period and trends.
Saved in:
| Title: | Tropical cyclone landfall intensity (V |
|---|---|
| Authors: | Bell, Samuel S.1 (AUTHOR) ss.bell@federation.edu.au, Chand, Savin S.1 (AUTHOR), Klotzbach, Philip J.2 (AUTHOR), Ekström, Marie3 (AUTHOR), Koschatzsky, Valentina3 (AUTHOR), Kumar, Sarvesh1 (AUTHOR), Sharma, Krishneel K.4 (AUTHOR), Hemmati, Mona3 (AUTHOR) |
| Source: | Natural Hazards. May2026, Vol. 122 Issue 10, p1-22. 22p. |
| Subject Terms: | *Tropical cyclones, *Wind speed, *Continuous time models, *Extreme weather, *Statistical measurement, El Niño |
| Geographic Terms: | Micronesia, Philippines, North Pacific Ocean |
| Abstract: | Human impacts, including financial losses, are closely related to the intensity and frequency of tropical cyclone (TC) landfalls in the western North Pacific (WNP) region. Here, 44 years of observational TC wind speed (Vmax) and track records (1980–2023) are used to examine TC landfall intensity trends and recurrence. Analysis is conducted over individual nations and includes modulation by El Niño-Southern Oscillation (ENSO), which has recently exhibited increasing asymmetries in spatial and temporal evolution. Two modern ENSO indices are first evaluated before one is selected to classify TC seasons into canonical phases. Landfall trends over individual nations are insignificant, but significant decreases are noted for the northern Philippines and parts of Micronesia, including for intense (> 33 m s–1) Vmax. However, the distribution of upper-tail Vmax values increases for 5 of 7 nations over the recent period, including the Philippines and Micronesia, confounding the impact of the much-noted poleward shift in WNP TC activity. Ex-TC landfall trends, while less robust, are also evaluated, and shown to have increased over the southwest corner of Japan. Lastly, a modified return period framework is employed to estimate the recurrence of Vmax at various locations based on "peak average" speeds and the shape of a reference extreme value curve. The framework provides a consistent platform for estimating long-term return magnitudes with limited data, such as Vmax over land. 1-in-200 year Vmax intensities are estimated to be the highest over the Philippines, southern Japanese islands and Micronesia, and relatively lower over Vietnam, Korea and China. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: enr DbLabel: Energy & Power Source An: 193366713 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Tropical cyclone landfall intensity (V<subscript>max</subscript>) for western North Pacific nations: return period and trends. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bell%2C+Samuel+S%2E%22">Bell, Samuel S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ss.bell@federation.edu.au</i><br /><searchLink fieldCode="AR" term="%22Chand%2C+Savin+S%2E%22">Chand, Savin S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Klotzbach%2C+Philip+J%2E%22">Klotzbach, Philip J.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ekström%2C+Marie%22">Ekström, Marie</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Koschatzsky%2C+Valentina%22">Koschatzsky, Valentina</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kumar%2C+Sarvesh%22">Kumar, Sarvesh</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sharma%2C+Krishneel+K%2E%22">Sharma, Krishneel K.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hemmati%2C+Mona%22">Hemmati, Mona</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Natural+Hazards%22">Natural Hazards</searchLink>. May2026, Vol. 122 Issue 10, p1-22. 22p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Tropical+cyclones%22">Tropical cyclones</searchLink><br />*<searchLink fieldCode="DE" term="%22Wind+speed%22">Wind speed</searchLink><br />*<searchLink fieldCode="DE" term="%22Continuous+time+models%22">Continuous time models</searchLink><br />*<searchLink fieldCode="DE" term="%22Extreme+weather%22">Extreme weather</searchLink><br />*<searchLink fieldCode="DE" term="%22Statistical+measurement%22">Statistical measurement</searchLink><br /><searchLink fieldCode="DE" term="%22El+Niño%22">El Niño</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Micronesia%22">Micronesia</searchLink><br /><searchLink fieldCode="DE" term="%22Philippines%22">Philippines</searchLink><br /><searchLink fieldCode="DE" term="%22North+Pacific+Ocean%22">North Pacific Ocean</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Human impacts, including financial losses, are closely related to the intensity and frequency of tropical cyclone (TC) landfalls in the western North Pacific (WNP) region. Here, 44 years of observational TC wind speed (Vmax) and track records (1980–2023) are used to examine TC landfall intensity trends and recurrence. Analysis is conducted over individual nations and includes modulation by El Niño-Southern Oscillation (ENSO), which has recently exhibited increasing asymmetries in spatial and temporal evolution. Two modern ENSO indices are first evaluated before one is selected to classify TC seasons into canonical phases. Landfall trends over individual nations are insignificant, but significant decreases are noted for the northern Philippines and parts of Micronesia, including for intense (> 33 m s–1) Vmax. However, the distribution of upper-tail Vmax values increases for 5 of 7 nations over the recent period, including the Philippines and Micronesia, confounding the impact of the much-noted poleward shift in WNP TC activity. Ex-TC landfall trends, while less robust, are also evaluated, and shown to have increased over the southwest corner of Japan. Lastly, a modified return period framework is employed to estimate the recurrence of Vmax at various locations based on "peak average" speeds and the shape of a reference extreme value curve. The framework provides a consistent platform for estimating long-term return magnitudes with limited data, such as Vmax over land. 1-in-200 year Vmax intensities are estimated to be the highest over the Philippines, southern Japanese islands and Micronesia, and relatively lower over Vietnam, Korea and China. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=193366713 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11069-026-08164-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 1 Subjects: – SubjectFull: Tropical cyclones Type: general – SubjectFull: Wind speed Type: general – SubjectFull: Continuous time models Type: general – SubjectFull: Extreme weather Type: general – SubjectFull: Statistical measurement Type: general – SubjectFull: El Niño Type: general – SubjectFull: Micronesia Type: general – SubjectFull: Philippines Type: general – SubjectFull: North Pacific Ocean Type: general Titles: – TitleFull: Tropical cyclone landfall intensity (Vmax) for western North Pacific nations: return period and trends. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bell, Samuel S. – PersonEntity: Name: NameFull: Chand, Savin S. – PersonEntity: Name: NameFull: Klotzbach, Philip J. – PersonEntity: Name: NameFull: Ekström, Marie – PersonEntity: Name: NameFull: Koschatzsky, Valentina – PersonEntity: Name: NameFull: Kumar, Sarvesh – PersonEntity: Name: NameFull: Sharma, Krishneel K. – PersonEntity: Name: NameFull: Hemmati, Mona IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 0921030X Numbering: – Type: volume Value: 122 – Type: issue Value: 10 Titles: – TitleFull: Natural Hazards Type: main |
| ResultId | 1 |